Analyzing Key Factors Influencing Human Mobility Before and During COVID‐19 With Explainable Machine Learning DOI Creative Commons

Wang Ping-ping,

Yihong Yuan

Transactions in GIS, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 20, 2024

ABSTRACT The COVID‐19 pandemic highlighted and worsened social inequalities in the United States. This study uses mobile phone location data at Census Block Group level explainable machine learning methods to examine relationships between various factors human mobility ten Metropolitan Statistical Areas uncover how different influenced disparities. Our key findings show significant reductions all indices during summer of 2020 compared 2019, mainly due stay‐at‐home orders, business closures, health concerns. Median household income was a consistent positive driver mobility, while minority rate negatively impacted movement, exacerbating existing inequalities. Remote work significantly affected full‐time part‐time job mobility. These highlight need for fair resilient policies that consider decentralized commuting, flexible models, sustainable transportation. insights can help policymakers urban planners address inequalities, support economic recovery, build inclusive environments.

Язык: Английский

Enhanced Accessibility to Park Cooling Services in Developed Areas: Experimental Insights on the Walkability in Large Urban Agglomerations DOI
Pengcheng Li, Wen Wu,

Yanhong Yin

и другие.

Building and Environment, Год журнала: 2025, Номер 272, С. 112665 - 112665

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

1

Contrasting effects of urbanization on vegetation between the Global South and Global North DOI
Jiuyi Chen, Bo Qiu, TC Chakraborty

и другие.

Nature Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

1

Mitigating Urban Heat Island Effects Through Green Space Integration: A Comparative Analysis of George Town, Penang, Malaysia DOI

Wei Chee Cheah,

Mohd Ismail Isa, Nurul Ashikin Mabahwi

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Urban green space, respiratory health and rising temperatures: An examination of the complex relationship between green space and adult asthma across racialized neighborhoods in Los Angeles County DOI Creative Commons
Peng Chen,

B M HANLON

Landscape and Urban Planning, Год журнала: 2025, Номер 258, С. 105320 - 105320

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

0

Vegetation Structure and Distribution Across Scales in a Large Metropolitan Area: Case Study of Austin MSA, Texas, USA DOI Creative Commons
R M Jamil, Jason P. Julian, Meredith Steele

и другие.

Geographies, Год журнала: 2025, Номер 5(1), С. 11 - 11

Опубликована: Март 3, 2025

The spatial distribution of vegetation across metropolitan areas is important for wildlife habitat, air quality, heat mitigation, recreation, and other ecosystem services. This study investigated relationships between patterns parcel characteristics at multiple scales the Austin Metropolitan Statistical Area (MSA), a rapidly growing region in central Texas characterized by diverse biophysical socioeconomic landscapes. We used LiDAR data to map types distributions 6000 km2 area. Principal component analysis (PCA) regression models were employed explore tree, shrub, grass cover parcels, cities, MSA, considering home value, age, size, distance city center. At MSA scale, tree shrub higher Edwards Plateau than Blackland Prairie ecoregion. Tree increased with size especially suburban areas. Older parcels had more mature trees, though less so grass-dominated Prairie. Shrub was on larger Plateau, while showed opposite trend. PCA explained 60% variance, highlighting links urban development. Our findings reveal how factors interact shape vegetation, offering considerations land use, housing, green infrastructure planning.

Язык: Английский

Процитировано

0

Implementing blue green infrastructures in cities – A methodological approach considering space constraints and microclimatic benefits DOI
Philipp Stern,

Magdalena Holzer,

Florian Kretschmer

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106391 - 106391

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Not Population Density, but City Size and Per Capita Income Influence the Urban Forest Carbon Sequestration: A Case of Growing Cities in Arkansas, USA DOI Creative Commons
Pradip Saud, Sagar Godar Chhetri, Matthew H. Pelkki

и другие.

Environmental Challenges, Год журнала: 2024, Номер 16, С. 101000 - 101000

Опубликована: Авг. 1, 2024

While urban trees provides significant ecosystem services, the impact of increasing urbanization and population on their carbon sequestration potential remains relatively underexplored in interior sprawling cities, highlighting a critical research gap amid growing environmental challenges. Although existing studies suggest strongly correlation between forest cover sequestration, this study aims to investigate how demography factors influence land across cities with low, medium, high densities. Using i-Tree Canopy tool, we sampled 18,814 random points estimate city Arkansas, state US. Results from principal component analysis revealed that 74% variation city's among density classes is attributed tree soil percentages. The mean annual (1.40 ± 0.08 T ha-1) total rates (35.30 5.57 were significantly higher areas low due average percentage (46%). Carbon rate was negatively associated types such as impervious surfaces like buildings (r = -0.44), roads -0.28), grass -0.46), other -0.53). log-linear model scaled variables suggested size has positive trees' while spatial distribution per capita income affect these befits regardless density. Travel time within may have negative impact, decadal change positively alongside management effort. Valuing for emerging market could provide monetary benefits communities, managers, policymakers, enabling development effective strategies context climate change.

Язык: Английский

Процитировано

1

Observational Constraints on the Spatial Effect of Greenness and Canopy Cover on Urban Heat in a Major Midlatitude City DOI Creative Commons
Jangho Lee, Max Berkelhammer

Geophysical Research Letters, Год журнала: 2024, Номер 51(21)

Опубликована: Ноя. 8, 2024

Abstract Urban heat stress is a critical issue, particularly in cities where dense infrastructure and limited green space exacerbate temperature extremes. This study investigates the impact of greenery (EVI2), canopy cover (CC), impervious (IC), water bodies on index Chicago using high‐resolution data from Heat Watch campaign. We find that EVI2, CC proximity to body significantly reduce while IC increases heat, afternoon when solar radiation intense. Additionally, effective radius land impacts smaller afternoon. The combined effect analysis indicates enhancing total greenness, not just cover, most strategy heat. underscores importance strategic vegetation management, highlighting role integrated approaches reducing urban

Язык: Английский

Процитировано

0

Analyzing Key Factors Influencing Human Mobility Before and During COVID‐19 With Explainable Machine Learning DOI Creative Commons

Wang Ping-ping,

Yihong Yuan

Transactions in GIS, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 20, 2024

ABSTRACT The COVID‐19 pandemic highlighted and worsened social inequalities in the United States. This study uses mobile phone location data at Census Block Group level explainable machine learning methods to examine relationships between various factors human mobility ten Metropolitan Statistical Areas uncover how different influenced disparities. Our key findings show significant reductions all indices during summer of 2020 compared 2019, mainly due stay‐at‐home orders, business closures, health concerns. Median household income was a consistent positive driver mobility, while minority rate negatively impacted movement, exacerbating existing inequalities. Remote work significantly affected full‐time part‐time job mobility. These highlight need for fair resilient policies that consider decentralized commuting, flexible models, sustainable transportation. insights can help policymakers urban planners address inequalities, support economic recovery, build inclusive environments.

Язык: Английский

Процитировано

0